Title :
Stability of neural network controllers for a class of plants
Author :
Sio, K.C. ; Lee, C.K.
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Hung Hom, Hong Kong
Abstract :
The stability of neural network controllers for a class of plants is studied. With the use of the passivity theorem, the stability region of the weight coefficients can be derived and hence sufficient conditions for a stable neural network controller can be obtained. Once these conditions are satisfied, a stable neural network controller can be designed easily
Keywords :
control system analysis; control system synthesis; feedforward neural nets; multilayer perceptrons; neurocontrollers; stability; neural network controllers; passivity theorem; stability region; sufficient conditions; weight coefficients; Control systems; Control theory; Equations; Feedforward neural networks; Fuzzy control; Fuzzy neural networks; Neural networks; Neurons; Stability analysis; Sufficient conditions;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.685899
